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Open Set Learning

Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. Open set learning (OSL) is a more challenging and realistic setting, where there exist test samples from the classes that are unseen during training. Open set recognition (OSR) is the sub-task of detecting test samples which do not come from the training.

Papers

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Showing 26–50 of 267 papers

TitleStatusHype
Difficulty-Aware Simulator for Open Set RecognitionCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
Model-Agnostic Few-Shot Open-Set RecognitionCode1
Maximum Class Separation as Inductive Bias in One MatrixCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
GlanceNets: Interpretabile, Leak-proof Concept-based ModelsCode1
Open Set Recognition using Vision Transformer with an Additional Detection HeadCode1
Open-set Adversarial Defense with Clean-Adversarial Mutual LearningCode1
A Unified Benchmark for the Unknown Detection Capability of Deep Neural NetworksCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Spatial Location Constraint Prototype Loss for Open Set RecognitionCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?Code1
Evidential Deep Learning for Open Set Action RecognitionCode1
Adversarial Motorial Prototype Framework for Open Set RecognitionCode1
Learning Bounds for Open-Set LearningCode1
Conditional Variational Capsule Network for Open Set RecognitionCode1
OpenGAN: Open-Set Recognition via Open Data GenerationCode1
Learning Placeholders for Open-Set RecognitionCode1
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity RecognitionCode1
Few-shot Open-set Recognition by Transformation ConsistencyCode1
Counterfactual Zero-Shot and Open-Set Visual RecognitionCode1
Adversarial Reciprocal Points Learning for Open Set RecognitionCode1
Task-Adaptive Negative Envision for Few-Shot Open-Set RecognitionCode1
Learning Open Set Network with Discriminative Reciprocal PointsCode1
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